Spatiotemporal and functional characterisation of transient receptor potential vanilloid 4 (TRPV4) in the murine intervertebral disc
Bibliographic record
Abstract
The molecular regulators of mechano-transduction in intervertebral disc (IVD) cells are not well understood. The aim of the present study was to characterise the expression and function of the mechano-sensitive ion channel TRPV4 in the IVD. A novel transgenic reporter mouse, in which the endogenous Trpv4 locus drove the expression of LacZ, was used to localise Trpv4 expression at specific stages of spine development [embryonic day (E) 8.5, 12.5, 17.5, postnatal day 1] and time points following skeletal maturity (2.5, 6, 9 and 12 months). The TRPV4-specific agonist GSK1016790A and antagonist GSK2193874 were used to assess the functional response of annulus fibrosus (AF) cells using epifluorescence imaging with Ca2+-sensitive Fura-2 dye and F-actin staining. The effects of TRPV4 agonism and antagonism in mechanically stimulated AF cells were quantified by gene expression analysis. Trpv4 expression was specific to the developing notochord and intervertebral mesenchyme at E12.5. At 2.5, 6 and 9 months, Trpv4 expression was detected in the nucleus pulposus, inner AF, cartilage endplate and vertebral growth plate. AF cells treated with GSK1016790A demonstrated heterogeneity in TRPV4-dependent Ca2+ responses (no response, calcium oscillation or sustained response). TRPV4-induced Ca2+ signalling was associated with Rho/ROCK-dependent actin cytoskeleton remodelling and stress-fibre formation. In AF cells, cyclic-tensile-strain-induced changes in Acan and Prg4 expression were mediated by TRPV4 channel activation. These data establish TRPV4 as an important mechano- sensor regulating IVD mechano-biology.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".